DocumentCode
2297874
Title
Parameter identifiability of quantized linear systems
Author
Shen, Ying ; Zhang, Hui
Author_Institution
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
fYear
2012
fDate
6-8 July 2012
Firstpage
3140
Lastpage
3145
Abstract
The parameter identifiability of quantized linear systems with Gauss-Markov parameters is discussed from information theoretic point of view. The presented definition of parameter identifiability is reviewed and extended to quantized systems by considering the intrinsic property of the system. Then the parameter identifiability of linear systems with quantized outputs is analyzed and the criterion of parameter identifiability is proposed based on the measure of mutual information. Furthermore, the convergence property of the quantized parameter identifiability Gramian is analyzed.
Keywords
Gaussian processes; Markov processes; convergence; information theory; linear systems; parameter estimation; Gauss-Markov parameters; convergence property; information theory; parameter identifiability; quantized linear systems; Convergence; Educational institutions; Hafnium; Linear systems; Mutual information; Process control; Gauss-Markov process; identifiability; mutual information; quantized linear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358412
Filename
6358412
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